eu.henkelmann.actuarius.Transformer.scala Maven / Gradle / Ivy
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Actuarius is a Markdown Processor written in Scala using parser combinators.
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package eu.henkelmann.actuarius
import java.io.{InputStreamReader, StringWriter}
/**
* This is the Transformer that uses the other parsers to transform markdown into xhtml.
* Mix this trait in if you want more control over the output (like switching verbatim xml on/off or using
* different opening/closing tags for the output).
*/
trait Transformer {
/**
* Overwrite this method to return a custom decorator if you want modified output.
*/
def deco():Decorator = Decorator
private object lineTokenizer extends LineTokenizer {
override def allowXmlBlocks() = Transformer.this.deco().allowVerbatimXml()
}
private object blockParser extends BlockParsers {
override def deco() = Transformer.this.deco()
}
/**
* This is the method that turns markdown source into xhtml.
*/
def apply(s:String) = {
//first, run the input through the line tokenizer
val lineReader = lineTokenizer.tokenize(s)
//then, run it through the block parser
blockParser(lineReader)
}
}
class SingleThreadedTransformer extends Transformer
/**
* Simple Standalone Markdown transformer.
* Use this if you simply want to transform a block of markdown without any special options.
* val input:String = ...
* val xhtml:String = new ActuariusTransformer()(input)
*
* Note that Actuarius isn't inherantly thread-safe, as Scala Parser Combinators isn't, so this
* class instantiates a SingleThreadedTransformer for each thread.
* You'll need to write your own pooled implementation if this isn't efficient for your usage.
*/
class ActuariusTransformer extends Transformer {
private[this] val threadLocalTransformer = new ThreadLocal[SingleThreadedTransformer] {
override def initialValue = new SingleThreadedTransformer
}
override def apply(s: String) = threadLocalTransformer.get()(s)
}
/**
* Contains a main methdod that simply reads everything from stdin, parses it as markdown and
* prints the result to stdout.
*/
object ActuariusApp extends Transformer {
def main(args:Array[String]) = {
//read from system input stream
val reader = new InputStreamReader(System.in)
val writer = new StringWriter()
val buffer = new Array[Char](1024)
var read = reader.read(buffer)
while (read != -1) {
writer.write(buffer, 0, read)
read = reader.read(buffer)
}
//turn read input into a string
val input = writer.toString
//run that string through the transformer trait's apply method
val output = apply(input)
//print result to stdout
print(output)
}
}
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